Algorithmics

Welcome to the Algorithmics group, a section of the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology.

In the Algorithmics group, we aim to design, and understand fundamental properties of, planning and coordination algorithms for intelligent decision making in real world applications, such as for coordinating electrical loads within network constraints, or logistic processes on a shunting yard or container terminal. Apart from dealing with the inherent scalability challenge in such combinatorial domains, we work on two main research objectives. First, we aim to understand how to build predictive models from data that facilitate effective planning and scheduling algorithms dealing with uncertainty, for example to find robust solutions. Our second research objective is to understand how to effectively incorporate behaviour and preferences of stakeholders in the decision-making process.

To realize these objectives we focus on the following research topics:

  • Model-based reinforcement learning: How to deal with uncertainty in planning?
  • Multi-party optimization: How to account for preferences and possibly strategic behaviour in multi‚Äźactor planning?
  • Constraint reasoning: How to support individual and group scheduling decisions?
  • Meta-heuristics: What are effective general heuristic methods to support decisions taking into account different preferences?

We aim to apply these techniques in sectors such as logistics and transportation, energy, and maintenance. To realise these applications we pay attention to handling large amounts of available data as well as to the development of advanced algorithmic toolboxes based on generic methods and techniques.

Job openings

  • Mathijs de Weerdt has a PhD position together with Karen Aardal on the combination of machine learning and optimization, supporting the energy transition (see also this 2-minute video explanation about the project)
  • Our group regularly has several open PhD positions: please check (and monitor) academictransfer.com.
  • Our group holds a number of openings and ideas for MSc projects for TU Delft students.
  • If you're among the best students in your class (CS/AI/Maths) and interested in obtaining your PhD by contributing to our mission (see above), please send an email to the professor you'd like to be your promotor indicating your topic/direction of interest.

 

From start to finish

Video: Research and education opportunities for master students

Research and Education for Master Students

News

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30 juni 2022

Studenten Computer Science ontwikkelen software voor energiebedrijven

Studenten Computer Science ontwikkelen software voor energiebedrijven

Vijf groepen studenten van de bachelor Computer Science (EEMCS) werkten dit jaar aan een speciaal AI & Energy project: ze kregen een real-world probleem of uitdaging van een energie-gerelateerd bedrijf voorgeschoteld, waarvoor ze AI-software moesten ontwikkelen. Het doel was om software te ontwikkelen of prototypes die daadwerkelijk door de energiebedrijven gebruikt kunnen worden. Afgelopen week hebben ze hun resultaten gepresenteerd, met groot succes.

28 september 2021

Two new Assistant Professors join the Algorithmics group

04 februari 2021

Algorithmics group present four papers at IJCAI'20 and AAAI'21

All the talks are available on the conference website.

04 november 2020

Podcast AI & energie met Mathijs de Weerdt

Podcast AI & energie met Mathijs de Weerdt

In de zesde wetenschapspodcast Snoek op Zolder van de Nederlandse AI Coalitie (NL AIC) en het Nationaal Innovatie Centrum voor AI (ICAI) spreken hosts Hennie Huijgens en Sietse van Gorkum met Mathijs de Weerdt, sectiehoofd van de Algorithmics Group van de TU Delft. Centraal staat deze keer de energie- en industriesector in Nederland. Een belangrijk onderwerp, vanwege de druk die de sector ervaart op verandering naar een duurzamer energiesysteem.

28 juli 2020

TU Delft teams get 1st and 2nd place at the GECCO 2020 Industrial Challenge

A team of students participating in the course Algorithms for Intelligent Decision Making have won the 1st place in the GECCO 2020 Industrial Challenge. Former Computer Science student Arthur Guijt has won 2nd place.

11 juni 2020

Team Automatoes win final of Autonomous Greenhouse Challenge

Team Automatoes beat five other finalists in growing tomatoes with AI.

15 mei 2020

Three papers about reinforcement learning from our group were presented at AAMAS 2020

All the talks are available on the conference website

20 december 2019

New project SAM-FMS studies scheduling in cyber-physical systems

New project SAM-FMS studies scheduling in cyber-physical systems

07 oktober 2019

Team Automatoes reach final of international challenge

Team Automatoes reach final of Autonomous Greenhouse Challenge

03 april 2019

End of "Gaming beyond the copper plate" project

Closing conference URSES and end of "Gaming beyond the copper plate"

Delft University of Technology - Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

Contact us

Visiting Address
Building 28

Room: 320 East 3rd floor
Van Mourik Broekmanweg 6
2628 XE Delft
The Netherlands

Mailing Address
EEMCS, Algorithmics
P.O. Box 5031, 2600 GA Delft
The Netherlands

Location

Location

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